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Detection of Crop Seeding and Harvest through Analysis of Time-Series Sentinel-1 Interferometric SAR Data

Jiali Shang, Jiangui Liu, Valentin Poncos, Xiaoyuan Geng, Budong Qian, Qihao Chen, Taifeng Dong, Dan Macdonald, Tim Martin, John Kovacs, Dan Walters
2020 Remote Sensing  
In this study, the capability of C-band SAR data for detecting crop seeding and harvest events was explored.  ...  Time-series SAR data acquired by Sentinel-1 constellation with the interferometric wide (IW) mode with dual polarizations in VV (vertical transmit and vertical receive) and VH (vertical transmit and horizontal  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12101551 fatcat:wfqdah73mfhwdl4x32swgg5tky


R. Nasirzadehdizaji, F. B. Sanli, Z. Cakir
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Hence, Sentinel-1 SAR data are ideal preference due to its free availability and constant long-term data archive.  ...  In this study, a time-series of Sentinel-1 SAR images were acquired throughout the agricultural season synchronously with the field measurements to investigate the temporal backscatter changes for different  ...  For the intensity analysis of SAR backscatter to crops, a time series of 24 remotely sensed Sentinel-1 SAR data in ascending and 23 data in descending pass direction were acquired starting from 02 May  ... 
doi:10.5194/isprs-archives-xlii-4-w18-803-2019 fatcat:wt437q5bnfdavjkjsgm35lu3ja

Combined Multi-Time Series SAR Imagery and InSAR Technology for Rice Identification in Cloudy Regions

Rui Zhang, Zhanzhong Tang, Dong Luo, Hongxia Luo, Shucheng You, Tao Zhang
2021 Applied Sciences  
The rice identification accuracy of single-time series Sentinel-1 SAR image (78%) is lower than that of multi-time series SAR image combined with InSAR technology (81%).  ...  The rice identification results and accuracy of InSAR technology were compared with those of three schemes (single-time-phase SAR, multi-time-phase SAR, and combination of multi-time-phase SAR and InSAR  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11156923 fatcat:lqdbmgiszrgalkfwbmbuxqw3xu

Assessment of Multi-Date Sentinel-1 Polarizations and GLCM Texture Features Capacity for Onion and Sunflower Classification in an Irrigated Valley: An Object Level Approach

Gabriel Rodrigo Caballero, Gabriel Platzeck, Alejandro Pezzola, Alejandra Casella, Cristina Winschel, Samanta Soledad Silva, Emilia Ludueña, Nieves Pasqualotto, Jesús Delegido
2020 Agronomy  
The objective of this work is to evaluate the capacity of the C-band Synthetic Aperture Radar (SAR) time series imagery, acquired by the European satellite Sentinel-1 (S1), for the agriculture crop classification  ...  The analysis of SAR data and their features was carried out at OBIA lot level (Object Based Image Analysis) showing an optimal strategy to counteract the effect of the residual and inherent speckle noise  ...  in this study and the Development Corporation of Colorado River (CORFO) for contributing to the digitization of the lots and infrastructure.  ... 
doi:10.3390/agronomy10060845 fatcat:5iz2bcnrejazdk5yoxndk32d7m

C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)

Nadia Ouaadi, Jamal Ezzahar, Saïd Khabba, Salah Er-Raki, Adnane Chakir, Bouchra Ait Hssaine, Valérie Le Dantec, Zoubair Rafi, Antoine Beaumont, Mohamed Kasbani, Lionel Jarlan
2021 Earth System Science Data  
Radar data are the backscattering coefficient and the interferometric coherence derived from Sentinel-1 GRDH (Ground Range Detected High Resolution) and SLC (Single Look Complex) products, respectively  ...  In this paper, a complete set of data for radar signal analysis is shared with the scientific community for the first time to our knowledge.  ...  In this paper, a recent, multiyear, complete database composed of processed Sentinel-1 SAR data (the backscattering coefficient and the interferometric coherence); the Sentinel-2 NDVI; and measured variables  ... 
doi:10.5194/essd-13-3707-2021 fatcat:qlk7kupihzh23j3iembrxujck4

Understanding Dense Time Series of Sentinel-1 Backscatter from Rice Fields: Case Study in a Province of the Mekong Delta, Vietnam

Hoa Phan, Thuy Le Toan, Alexandre Bouvet
2021 Remote Sensing  
amount of free Sentinel-1 data within the Copernicus program.  ...  The objective of this study is to analyze in detail the backscatter temporal variation of rice fields, using Sentinel-1 from 2015 to 2020 and in-situ data for the 5 rice seasons over 2 years 2017–2018,  ...  Acknowledgments: Field data collection was funded by the CESBIO project linked to GEOGLAM/Asia-RICE, under agreement of the Southern Satellite Technology and Applications Centre (VAST).  ... 
doi:10.3390/rs13050921 fatcat:npy367cuibfkvfy7w3hlgwjcgq

Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa

Mihai A. Tanase, Miguel A. Belenguer-Plomer, Ekhi Roteta, Aitor Bastarrika, James Wheeler, Ángel Fernández-Carrillo, Kevin Tansey, Werner Wiedemann, Peter Navratil, Sandra Lohberger, Florian Siegert, Emilio Chuvieco
2020 Remote Sensing  
This study provides a comparative analysis of two Sentinel-1 and one Sentinel-2 burned area (BA) detection and mapping algorithms over 10 test sites (100 × 100 km) in tropical and sub-tropical Africa.  ...  The mean OE and CE were 33% and 31% for the optical-based Sentinel-2 time-series algorithm and increased to 66% and 36%, respectively, for the radar backscatter coefficient-based algorithm.  ...  SAR Backscatter Coefficient Time Series An algorithm based on temporal time-series of Sentinel-1 backscatter coefficient (RtsB) was also developed to identify anomalous changes in the radar signal and  ... 
doi:10.3390/rs12020334 fatcat:eakizjkavvhorken33ud6cbwbi

Crop Monitoring Using Sentinel-1 Data: A Case Study from The Netherlands

Saeed Khabbazan, Paul Vermunt, Susan Steele-Dunne, Lexy Ratering Arntz, Caterina Marinetti, Dirk van der Valk, Lorenzo Iannini, Ramses Molijn, Kees Westerdijk, Corné van der Sande
2019 Remote Sensing  
Time series of radar backscatter from the European Space Agency's Sentinel-1 Mission are analyzed and compared to ground measurements including phenological stage and height.  ...  The results presented here demonstrate that Sentinel-1 data have significant potential value to monitor growth and development of key Dutch crops.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11161887 fatcat:hq4plx6ghfgvrivyosq6e7bzme


J. D. Mohite, S. A. Sawant, A. Kumar, M. Prajapati, S. V. Pusapati, D. Singh, S. Pappula
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The key contribution of this work is towards operational near real time and early season rice area mapping using multi-temporal SAR data on GEE platform.  ...  Hence, Sentinel-1 C-band (center frequency: 5.405<span class="thinspace"></span>GHz) RADAR sensor launched by European Space Agency (ESA) which has an Interferometric Wide-swath mode (IW) with dual polarization  ...  The key objective of this study is development of operational near-real time and early season rice area mapping framework using multi-temporal Sentinel-1 SAR data on GEE platform.  ... 
doi:10.5194/isprs-archives-xlii-4-433-2018 fatcat:ovrwyb6rrbhwjoobqdkmhtyi7m

European Rice Cropland Mapping with Sentinel-1 Data: The Mediterranean Region Case Study

Duy Ba Nguyen, Wolfgang Wagner
2017 Water  
Time series analysis of SAR backscatter values is the most common data analysis approach used for paddy rice identification.  ...  High spatial resolution SAR data (≤20 m) have been investigated over a fewer study sites because of the difficulty of collecting dense and long-enough image time series [27] [28] [29] [30] .  ...  Acknowledgments: The authors would like to thank VIED (Vietnam International Education Development) and OeAD (Österreichischer Austauschdienst) for their support during the studying period.  ... 
doi:10.3390/w9060392 fatcat:k3l6dudqjjhw3a2yaf7vjgwaii

Combining ASNARO-2 XSAR HH and Sentinel-1 C-SAR VH/VV Polarization Data for Improved Crop Mapping

Rei Sonobe
2019 Remote Sensing  
In previous studies, Sentinel-1 C-SAR data have been widely utilized to identify crop types.  ...  The combination of ASNARO-2 XSAR and Sentinel-1 C-SAR data was effective, and overall classification accuracies of 85.4 ± 1.8% were achieved using SVM.  ...  Acknowledgments: The author would like to thank Hiroshi Tani from Hokkaido University, Tokachi Nosai for providing the field data, and the Japan Space Imaging Corporation and Nippon Electric Company for  ... 
doi:10.3390/rs11161920 fatcat:mnryatjvlnb77idscozh3dm5iq

Grassland Mowing Detection Using Sentinel-1 Time Series: Potential and Limitations

Mathilde De Vroey, Julien Radoux, Pierre Defourny
2021 Remote Sensing  
Several mowing detection methods, based on SAR backscattering and interferometric coherence time series, were thoroughly evaluated.  ...  Overall, this study demonstrates that mowing events can be detected through Sentinel-1 coherence.  ...  Clear and consistent seasonal patterns have been observed in SAR time series, allowing to detect seeding and harvest dates of several crops [22] .  ... 
doi:10.3390/rs13030348 fatcat:75urdvqmkfga5feuf6sikhbxza

Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data

Amal Chakhar, David Hernández-López, Rocío Ballesteros, Miguel A. Moreno
2021 Remote Sensing  
In this study, we assessed the potential of integrating Sentinel-1 information (VV and VH backscatter and their ratio VH/VV with Sentinel-2A data (NDVI) to perform crop classification and to define which  ...  The availability of an unprecedented amount of open remote sensing data, such as Sentinel-1 and -2 data within the Copernicus program, has boosted the idea of combining the use of optical and radar data  ...  Acknowledgments: We would like to acknowledge the support of the Confederación Hidrográfica del Júcar, and the University of Castilla-La Mancha for funding a PhD grant for Amal Chakhar.  ... 
doi:10.3390/rs13020243 fatcat:fa75eq36mrfkfam7hsgpkdv63u

Mapping a Cloud-Free Rice Growth Stages Using the Integration of PROBA-V and Sentinel-1 and Its Temporal Correlation with Sub-District Statistics

Fadhlullah Ramadhani, Reddy Pullanagari, Gabor Kereszturi, Jonathan Procter
2021 Remote Sensing  
This result was similar to local statistics data, which correlate planting and the harvested area at 0.61, and the lag time as 90.4 days, respectively.  ...  The overall accuracy of the rice growth-stage model of PROBA-V was 83.87%, and the Sentinel-1 model was 71.74% with the Support Vector Machine classifier.  ...  Acknowledgments: Indonesia Ministry of Agriculture through the Indonesian Centre for Agricultural Land Resources Research and Development (ICALRRD) to provide high resolution of the official rice area  ... 
doi:10.3390/rs13081498 fatcat:y25ygzjqvvhfvemoltkcmt2wpy

Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping

Ali Nasrallah, Nicolas Baghdadi, Mohammad El Hajj, Talal Darwish, Hatem Belhouchette, Ghaleb Faour, Salem Darwich, Mario Mhawej
2019 Remote Sensing  
The ability of Synthetic Aperture Radar (SAR) Sentinel-1 data to detect the main wheat phenological phases was investigated in the Bekaa plain of Lebanon.  ...  Accordingly, the temporal variation of Sentinel-1 (S1) signal was analyzed as a function of the phenological phases' dates observed in situ (germination; heading and soft dough), and harvesting.  ...  Out of the main cultivated field crops, Acknowledgments: The authors would like to acknowledge the European Space Agency (ESA) for providing the Sentinel-1 and Sentinel-2 satellite datasets.  ... 
doi:10.3390/rs11192228 fatcat:w47cdwbndbf4tpscdwaymrosiq
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